FST::Model_Normal< DATATYPE, REALTYPE, IDXTYPE, DIMTYPE, SUBSET, DATAACCESSOR > Class Template Reference

Implements normal (gaussian) model. More...

#include <model_normal.hpp>

Inheritance diagram for FST::Model_Normal< DATATYPE, REALTYPE, IDXTYPE, DIMTYPE, SUBSET, DATAACCESSOR >:

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Collaboration diagram for FST::Model_Normal< DATATYPE, REALTYPE, IDXTYPE, DIMTYPE, SUBSET, DATAACCESSOR >:

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List of all members.

Public Types
typedef boost::shared_ptr < DATAACCESSOR >	PDataAccessor
typedef boost::shared_ptr< SUBSET >	PSubset
Public Member Functions
	Model_Normal (const Model_Normal &mn)
virtual void	learn (PDataAccessor da)
virtual void	learn (PDataAccessor da, const PSubset sub)
void	narrow_to (const PSubset sub)
void	denarrow ()
DIMTYPE	get_n_max () const
DIMTYPE	get_n () const
DIMTYPE	get_d () const
DIMTYPE	get_classes () const
REALTYPE	get_Pc (const DIMTYPE c) const
Protected Member Functions
const boost::scoped_array < Indexed_Vector< REALTYPE, DIMTYPE, SUBSET > > &	get_mean () const
const boost::scoped_array < Indexed_Matrix< REALTYPE, DIMTYPE, SUBSET > > &	get_cov () const
Protected Attributes
DIMTYPE	_classes
DIMTYPE	_n_max
DIMTYPE	_n
boost::scoped_array< REALTYPE >	_Pc
boost::scoped_array < Indexed_Vector< REALTYPE, DIMTYPE, SUBSET > >	_mean
boost::scoped_array < Indexed_Matrix< REALTYPE, DIMTYPE, SUBSET > >	_cov
DIMTYPE	_d
boost::scoped_array< DIMTYPE >	_learn_index
Friends
class	Classifier_Normal_Bayes
class	Criterion_Normal_Bhattacharyya
class	Criterion_Normal_GMahalanobis
class	Criterion_Normal_Divergence

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Detailed Description

template<typename DATATYPE, typename REALTYPE, typename IDXTYPE, typename DIMTYPE, class SUBSET, class DATAACCESSOR>
class FST::Model_Normal< DATATYPE, REALTYPE, IDXTYPE, DIMTYPE, SUBSET, DATAACCESSOR >

Implements normal (gaussian) model.

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The documentation for this class was generated from the following file:

• model_normal.hpp